דרושים Senior Applied Scientist Advertising Trust ב-אמזון ב-United States, San Diego

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceKey job responsibilities
Building relationships to understand our customers and partners is key. As a trusted technical advisor, you’ll use your interpersonal skills to influence a variety of stakeholders from technical teams to executives. You’ll help ensure their short-term technology decisions are aligned with their long-term goals. Speeding up the adoption of our services will be part of your day to day.You’ll also act as thought leader in the wider community. This includes taking part in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. You won’t just be part of an industry movement; you’ll be leading it.A day in the life
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple customers, and you will collaborate with them on designing and operating well-architected solutions. You will earn their trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you’ll craft highly scalable, flexible, and resilient cloud architectures that address our customers’ business problems. As part of our team, you’ll have the opportunity to continuously learn and innovate daily.

- Bachelor's degree
- Experience in design, implementation, or consulting in applications and infrastructures
- Background in any other following or related to Technology Architect, Consultant, Cloud Architect, Technical Lead, Engineering Lead, Systems Engineer etc.
- Experience and/or deeper understanding in one or more technology areas. Specific knowledge in multiple technology domain areas (e.g., software development/architecture, systems engineering, infrastructure, containers, databases, security, networking, data & analytics, AI/ML, GenAI).
- Have worked on design, development, implementation, or consulting applications / platforms in their prior experience
- Can create proof of concepts, demos, and/or scripts from scratch or leveraging reusable components.
- Understands and can articulate common architectural patterns and design principles.
- Able to create technical content that is easily adopted and reusable by others.
- Fluent communication skills.

- Knowledge of AWS services
- Experience architecting, migrating or transforming customer requirements to the cloud
- Professional experience architecting / operating solutions built on AWS or other cloud technology
- Experience migrating or transforming legacy customer solutions and/or applications to the cloud
- One or more AWS certifications, e.g. AWS Solutions Architect Professional
- Able to present to technical and business audiences (training, workshops, publications)
- 4 years’ experience as a Solution Architect or related role.

As a Senior Startup Investor Manager within AWS, you will work with venture capital firms and angel investors to accelerate portfolio company success. You'll work with key investors to help unlock the potential of their portfolio companies on AWS, enabling faster innovation and scaling. Your role focuses on supporting meaningful initiatives between the investment community and AWS, helping startups leverage cloud to achieve breakthrough growth. You'll combine technical understanding of cloud and emerging technologies, such as generative AI, with business acumen to identify opportunities and ensure startups have access to the tools, expertise, and support needed to build world-changing products on AWS infrastructure.Key job responsibilities
• Support and execute initiatives with venture and angel firms, contributing to investor-focused programs that accelerate portfolio company success• Implement solutions that address specific startup and investor needs• Collaborate on cross-functional initiatives involving AWS Startups, Sales, Marketing, and Product teams• Monitor program effectiveness and provide feedback based on results• Collect early-stage market signals from investors and founders to support AWS innovation and help meet the evolving needs of tomorrow's breakthrough companies• Evaluate technical and business potential of startups through understanding of their architecture, technology stack, and market opportunity• Serve as technical advisor to portfolio companies, helping them optimize their cloud architecture and go-to-market approachAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Experience managing competing priorities and using metrics to drive business decisions
- 7+ years of experience in technology industry with focus on startups, ideally in combination with technical roles
- Strong understanding of cloud computing architectures, services, and best practices and familiarity with generative AI technologies
- Understanding of technical patterns and architectures for workloads relevant to startups
- Bachelor's degree in technical or technical management field or equivalent experience

- Advanced degree, or MBA
- Experience with analytical tools and ability to dive deep into metrics and reporting
- Experience at startups or venture capital/angel firms
- Experience building and scaling cloud-native applications from the ground up
- Experience with commercial aspects of fast-growing technical businesses
- Ability to understand and evaluate emerging technologiesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
* Design, build, and deploy machine learning models, frameworks, and data pipelines
* Optimize ML training, inference, and evaluation workflows for reliability and performance
* Evaluate and improve ML model performance and metrics
* Develop tools and infrastructure to enhance ML development productivity

* 3+ years experience building and deploying machine learning systems
* Experience with ML frameworks (e.g. PyTorch, TensorFlow) and ML orchestration tools
* Proven track record of improving ML systems, performance, and workflows

* Experience building and optimizing production-grade AI systems, e.g., for self-driving, simulation, or LLM applications
* Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results
* Capacity to work autonomously and with a small team to drive research progressPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.

- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.

About the RoleYou can work in San Francisco, CA; Irvine, CA.You Will
- Be responsible for the growth, development, and performance management of software engineers under your leadership
-Contribute to strategic planning and partner with product managers and technical program managers to develop a strong vision for Twitch’s video platform

- 3+ years of experience as an engineering manager
- 5+ years of experience in software development
- Experience running the day-to-day operations of software engineering projects of significant complexity
- Experience in hiring and developing engineers under your leadership

- Experience with languages/frameworks we use at Twitch: Golang, Typescript/React
- Familiarity with video delivery concepts and systems
- Familiarity with Twitch, gaming, and/or streaming on TwitchPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Come solve the difficult and rewarding engineering challenges in developing a highly reliable, power efficient, performant, low-cost satellite bus and payload. As a Sr. PCBA Manufacturing Engineer, you will work across design engineering, supply-chain, quality, and our manufacturing partners to drive Project Kuiper electrical sub-system and PCBA manufacturing and delivery.Key job responsibilities- Drive the PCBA Manufacturing Qualification process at the CM. Define manufacturing readiness requirements and lead key milestone reviews to ensure all production readiness deliverables are complete.
- Investigate and develop new manufacturing technology and methodologies to enhance PCBA quality, reliability, throughput, and cost.
- Drive closure of all operational issues during pre-production builds. Work within Operations, Supply Chain, R&D, and Reliability Engineering to implement and optimize manufacturing processes and improve yields for production ramp.
- Investigate failures/defects in production, test, and integration. Identify and mitigate underlying root causes to prevent reoccurrence as part of continuous improvement efforts.
- Identify opportunities for risk reduction and simplification of PCBA manufacturing processes.
- Deliver manufacturing processes capabilities including equipment capability, quality controls, materials characterization, and standardized rework practices.
- Actively monitor the success of products and processes through production ramp. Provide regular status reports of PCBAs progress from design to production.
- Deploy and qualify polymerics (staking, underfill, and conformal coat) equipment for high volume production.

- Bachelor's Degree in Engineering (Manufacturing/Mechanical/Aerospace/Industrial/Electrical) or related discipline, or equivalent experience.
- 3+ years of experience in PCBA/PCB production/processes and manufacturing engineering.
- Experience in board assembly processes and equipment: Stencil, paste print, SPI, pick & place, SMT reflow, AOI, 5DX, selective solder, flying probe, and wash.
- Experience leading DFX reviews for manufacturability, testability, quality, and reliability.
- Experience working independently and ensuring timely and accurate communication with contract manufacturers, suppliers, and 3rd party test and failure analysis partners.
- Strong interpersonal and collaborative skills, enthusiasm for the team’s spirit of innovation and mission of improving manufacturability, quality, and reliability in cutting-edge technology.
- Strong writing skills.

- Master’s Degree in Engineering (Manufacturing/Mechanical/Aerospace/Industrial/Electrical) or related discipline, or equivalent experience.
- 5+ years of experience in PCBA/PCB supply chain, manufacturing or engineering.
- 3+ years’ experience with industry standard PLM and DFX systems, Mentor/Valor preferred.
- Experience performing Design and Process Failure Modes and Effects Analyses.
- Experience with IPC-A-610H Class 3, IPC J-STD-001H compliance
- Experience in Polymeric application, including conformal coating, staking and underfill.
- Experience in solder alloys including leaded and lead free as well as next gen low temp alloys.
- Experience with flying probe test systems and DFT
- Knowledge of quality tools such as Lean principles, Six Sigma, root cause analysis and corrective action, advanced product quality planning (APQP), metrology, process failure mode and effects analysis (PFMEA), control plans, and various problem-solving approaches.
- Experience providing hands-on experimental design and execution (Statistical analysis and DOE).

Key job responsibilities
Our Senior Systems Engineers identify when implementations are not highly available, performant, secure, stable, maintainable, or have defects; and are able to determine short- and long-term mitigations. They have a depth and breadth of understanding in multiple areas of technology and they are excellent diagnosticians. They utilise their Linux expertise to troubleshoot, innovate fixes and workarounds, keep software up-to-date and provide data and metrics that help manage the capacity and efficiency of services.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Advanced knowledge in Linux system administration
- Significant experience of systems automation using BASH, Python, Perl, etc
- Significant experience of network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP)
- Excellent troubleshooting skills at all levels, from application to network to host
- Experience writing technical documents, project plans and progress reports to leadership and to stakeholders

- Experience of building and operating systems at scale
- Advanced knowledge of configuration management systems, such as: Puppet, Chef, Ansible, or related systems
- Significant experience of monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar)